Machine Learning Research Scientist Health AIML

The Health AIML team is at the forefront of machine learning and health science at Apple. We are a close-knit team of research scientists software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a Machine Learning Research Scientist with strong dedication to solving real-world problems in health and fitness that enrich our customers lives.

Were developing next-generation multimodal models to create intelligent health and fitness experiences. This role requires someone with strong expertise in large multimodal models to work at the intersection of AI and health to build foundational models that scale to billions of users worldwide. Your work will shape the future of health and fitness technologies at are looking for a research lead to guide multimodality research. You will lead the development of foundational technology that enables models to understand health and fitness data.

Lead research into health and fitness representation models and multimodal prototype and scale up new architectures to improve model and analyze experiments autonomously and debug and optimize model performance and computational to training and inference technical and architectural decision.

PhD in Computer Science/Engineering Machine Learning Statistics Mathematics or related work landing contributions to major LLM training track record of publishing skills with deep learning frameworks such as PyTorch JAX or TensorFlow.

Experience in training and evaluating multimodal of time-series modeling self-supervised learning and cross-modal to thoroughly evaluate and improve deep learning architectures in a self-directed by safely deploying LLMs in the health and fitness space.